ATS Jobs API: Greenhouse, Lever, Ashby & Workable career-site jobs

Get every open job from company career sites, straight from the applicant tracking system (ATS) behind them. Paste a careers-page URL, an ATS board slug, a company website or just a company name. The actor detects the ATS, reads its public job-board API and returns one clean, normalised row per job: title, department, location, remote flag, employment type, posted date, salary when published, and the apply link.

Supported ATS: Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio and BambooHR.

$3 per 1,000 jobs. No start fee and no monthly rental. Boards that are not found or fail cost nothing.

Docs, examples, MCP setup and an honest comparison with other actors: plugin.benjaminbritton.co.uk/ats-jobs-api/

Why use this ATS jobs API

• One schema for eight ATSes. Greenhouse jobs, Lever jobs, Ashby jobs and Workable jobs all come out in the same fields, so you can merge them without per-source code.
• Data from the source. Rows come from each company's own job board, not an aggregator, so postings are current and links go to the real application form.
• Give it a URL, a domain or a name. notion.so, Allica Bank or https://jobs.lever.co/palantir all work. The actor finds the board for you.
• Salary included. Structured pay ranges from Greenhouse pay transparency, Ashby compensation, Lever salary range, Recruitee and BambooHR, plus ranges parsed from the job ad text (flagged salary_source: "description").
• Built for feeds and alerts. Filter by keyword, location, remote, department and posting age. Turn on Only jobs not seen in earlier runs so each scheduled run returns, and charges for, only new postings.
• Fast and light. Most boards take one request. 2,400 jobs from 20 companies took about 6 seconds in testing.
• No personal data. Recruiter names, emails, phone numbers and application questions are never copied into the output.

Use cases

• Niche job boards: fill a climate, crypto, AI or remote-only job board from a list of target companies, refreshed daily.
• Job alerts and AI job agents: watch a set of companies and get only new roles that match a candidate's keywords and location.
• Sales and recruiting signals: see which companies are hiring for a role right now (for example, the first sales hire or a RevOps lead) and reach them while the need is fresh.
• Labour-market and competitor research: track hiring volume by department, location and seniority, and how published salary ranges change over time.
• Enrichment: answer "which ATS does this company use?" and "how many open roles do they have?" for a list of domains.

How to use it

1. Add companies to Companies, one per line. Mix formats freely:
   • Careers or job-board URLs: https://boards.greenhouse.io/airtable, https://jobs.ashbyhq.com/1password, https://apply.workable.com/fe-fundinfo, https://careers.smartrecruiters.com/ServiceNow, https://bunq.recruitee.com, https://acme.jobs.personio.de, https://acme.bamboohr.com/careers
   • Explicit ats:slug: greenhouse:stripe, lever:spotify, smartrecruiters:BoschGroup
   • Company websites: 1password.com, bunq.com. The actor looks for the job board linked from the site, then tries likely slugs.
   • Company names: Matillion, Allica Bank. The actor tries the likely slug on every supported ATS, keeps the board with the most open jobs and checks that the board's company name matches yours.
2. Optionally set filters and turn on Include job description.
3. Run the actor and download the dataset as JSON, CSV, Excel or XML, or read it through the Apify API.

Input example: all open engineering jobs in London or remote at three companies

{
  "companies": [
    "https://boards.greenhouse.io/airtable",
    "https://jobs.lever.co/palantir",
    "ashby:1password"
  ],
  "keywords": ["engineer*", "developer"],
  "excludeKeywords": ["intern*"],
  "locations": ["London", "United Kingdom", "Remote"],
  "postedWithinDays": 30,
  "includeDescription": true
}

Input example: a daily feed of new jobs only

{
  "companies": ["notion.so", "Monzo", "greenhouse:stripe", "workable:legatics"],
  "onlyNewJobs": true,
  "stateKey": "my-daily-feed"
}

Schedule it in Apify Console. Each run returns only postings not returned before for the same stateKey.

Input fields

Field	What it does
companies (required)	URLs, ats:slug, domains or company names, one per line
defaultAts	ATS to use for bare slugs and names. auto tries every ATS
keywords	Keep jobs whose title, department or team contains any keyword (whole-word, * wildcard)
excludeKeywords	Drop jobs whose title contains any of these
searchInDescription	Match keywords against the full description too
locations	Keep jobs whose location contains any of these, e.g. London, Germany, GB, Remote
remoteOnly	Keep only remote jobs
departments	Keep jobs whose department or team contains any of these
postedWithinDays	Keep jobs first published in the last N days
includeDescription	Add description_html and description_text
maxJobsPerCompany, maxJobs	Caps (newest jobs first)
onlyNewJobs, stateKey	Incremental mode for feeds and alerts
maxConcurrency	Parallel requests (a polite limit of 4 per ATS host always applies)

Output

One dataset row per job. The dataset has three views: Jobs, Salaries and All fields.

{
  "company": "AlphaSense",
  "ats": "greenhouse",
  "board_slug": "alphasense",
  "job_id": "8929518002",
  "title": "Enterprise Account Executive, Corporate",
  "department": "Corporate Sales",
  "team": null,
  "location": "New York, New York, United States; Remote - United States; United States",
  "locations": ["New York, New York, United States", "Remote - United States", "United States"],
  "country": null,
  "remote": true,
  "workplace_type": "remote",
  "employment_type": null,
  "posted_at": "2026-11-04T00:31:43Z",
  "updated_at": "2026-11-04T00:31:44Z",
  "salary_min": 105000,
  "salary_max": 140000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_text": "USD 105,000-140,000 (Base Compensation Range)",
  "salary_source": "structured",
  "apply_url": "https://job-boards.greenhouse.io/alphasense/jobs/8929518002",
  "job_url": "https://job-boards.greenhouse.io/alphasense/jobs/8929518002",
  "description_html": "<div class=\"content-intro\"><h2><strong>About AlphaSense ...",
  "description_text": "About AlphaSense:\n\nAlphaSense is the AI platform redefining market intelligence ...",
  "source_url": "https://boards-api.greenhouse.io/v1/boards/alphasense/jobs/8929518002",
  "scraped_at": "2026-11-08T00:49:02Z"
}

Field	Notes
company, ats, board_slug, job_id	job_id is the ATS's own ID and stays the same across runs, so use ats + board_slug + job_id as a unique key
title, department, team	As published. Not every ATS has a team field
location, locations, country	Primary location, all listed locations, and a country code or name when the ATS provides one
remote, workplace_type	remote is true when the ATS flags the job as remote or the location says Remote / Anywhere. workplace_type is remote, hybrid or onsite when published
employment_type	e.g. Full-time, Contract, Internship
posted_at, updated_at	ISO 8601 UTC. Workable and BambooHR give a date only (YYYY-MM-DD)
salary_*	Min, max, currency, period (year, month, hour and so on), the original text, and whether it came from a structured pay field or the ad text
apply_url, job_url	Application form and public job page
description_html, description_text	Only when includeDescription is on
source_url, scraped_at	The public endpoint the row came from, and when

A RUN_SUMMARY record in the run's key-value store lists every input, the ATS and board it resolved to, how it was resolved, the jobs found and returned, and any board that was not found.

Use from Claude / ChatGPT (MCP)

Run this actor from an AI assistant through Apify's hosted MCP server. This server URL loads only this actor:

https://mcp.apify.com/?tools=tidewell/ats-jobs-api

• Claude (claude.ai and Claude Desktop): Settings → Connectors → Add custom connector. Name it Apify, paste the URL, then sign in to Apify.
• Claude Code: claude mcp add apify "https://mcp.apify.com/?tools=tidewell/ats-jobs-api" -t http
• ChatGPT: add a custom MCP server named Apify with the URL above and OAuth. In the desktop app: Settings → MCP servers → Add server → Streamable HTTP.
• Cursor, VS Code and other MCP clients: {"mcpServers": {"apify": {"url": "https://mcp.apify.com/?tools=tidewell/ats-jobs-api"}}}. Clients without OAuth can add the header Authorization: Bearer <APIFY_TOKEN>.

Then ask in plain language, for example: "Use tidewell/ats-jobs-api to list every open engineering job at Stripe, Notion and Monzo posted in the last 14 days, with salary and apply link." The actor appears as the tool tidewell--ats-jobs-api. Runs are billed to your Apify account at the prices below.

Full setup guide, examples and comparisons: plugin.benjaminbritton.co.uk/ats-jobs-api/

Pricing

Pay per event: $0.003 per job returned ($3 per 1,000 jobs).

• No actor-start fee and no monthly rental.
• Filters run before charging, so you pay only for jobs that pass your filters.
• Boards that are not found, have no matching jobs, or fail cost nothing.
• Set a maximum cost per run in the run options. The actor stops cleanly at your limit and never returns rows you are not charged for.

Example: one daily run over 50 companies that returns about 40 new jobs a day with onlyNewJobs costs about $0.12 a day.

FAQ

Which ATS does a company use? Put its website or name in companies. The ats column and RUN_SUMMARY tell you which ATS and board it resolved to. If the company is not on a supported ATS, RUN_SUMMARY says so and you are not charged.

Is this scraping? Is it allowed? The actor reads the public job-board endpoints that Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio and BambooHR provide so companies can show their jobs on their own sites and job boards can list them. It does not log in, bypass protections or collect personal data. It sends polite, rate-limited requests with an identifying user agent. You remain responsible for how you use the data, for example linking back to the original posting.

Do you collect recruiter or candidate data? No. Hiring-manager names, recruiter emails, mailbox addresses, phone numbers and application questions are deliberately left out. The output contains job postings only.

Why is a field empty for some jobs? Each ATS publishes different fields. Greenhouse rarely publishes employment type, Workable's public widget has no salary, and Personio and BambooHR descriptions are whatever the company entered. A field is null when the source does not provide it. We never invent values.

How accurate is salary? salary_source: "structured" values come from the ATS's own pay fields. "description" values are parsed from ranges written in the ad, such as "$120,000 - $150,000" or "£45k-£55k". Check salary_text for the original wording.

Some company names did not resolve. What can I do? Paste the careers-page URL or an ats:slug instead. Those are exact. Name guessing only accepts a board whose company name matches your input and that has open jobs, so it errs towards "not found" over a wrong match.

Is Workday supported? Not yet. Workday career sites do not have a simple public board API. Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio and BambooHR are supported now.

Can I run it on a schedule or via API? Yes. Use Apify Schedules, the Apify API, or the Make, Zapier and n8n integrations. Combine onlyNewJobs with a schedule for a job-alert feed.

How fast is it? In local tests, 20 boards across all eight ATSes (about 2,400 jobs) took about 6 seconds, and 150 boards took about 10 seconds. SmartRecruiters needs one extra request per job for descriptions, so very large SmartRecruiters boards with descriptions on take longer.

Keywords

greenhouse jobs, lever jobs, ashby jobs, workable jobs, smartrecruiters jobs, career site jobs, ats jobs api, job postings api, careers page scraper, job board api, company jobs api, recruitee jobs, personio jobs, bamboohr jobs, remote jobs feed, salary data